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Remote Kubernetes Jobs
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
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Posted 1 month ago
Member of Technical Staff (General Software Engineer, Infrastructure)
About the RoleThe Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on...
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Posted 1 month ago
Staff GPU Inference SDET
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 1 month ago
Global Capacity Manager
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 1 month ago
Distributed Software Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 1 month ago
Technical Cloud Operations Lead
Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our...
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Posted 1 month ago
Staff Performance & Reliability Engineer
Who we are At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our...
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Posted 1 month ago
Application Security Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 1 month ago
Software Engineer - Identity & Authorization
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 1 month ago
Staff Cloud Infrastructure Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 1 month ago
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Role guide
What to expect in remote Kubernetes jobs
Kubernetes is the standard infrastructure platform for production AI systems at scale. Remote Kubernetes jobs at AI companies involve GPU node pool management, MLOps platform engineering, and autoscaling model serving. These roles sit at the intersection of cloud infrastructure and ML systems.
What you'll work on
- Design Kubernetes clusters for distributed model training with GPU nodes
- Deploy AI models with autoscaling using KServe or Seldon
- Build the MLOps platform your data science team runs experiments on
- Manage resource quotas and scheduling for multi-team AI workloads
What companies look for
- GPU node pool configuration and scheduling experience
- Knowledge of Kubeflow, KServe, or Seldon for ML serving
- Helm chart development and GitOps deployment practices
Frequently asked questions
What Kubernetes roles are available remotely in AI?
Primarily MLOps platform engineering, AI infrastructure, and model serving roles. These positions require strong Kubernetes fundamentals plus ML-specific tooling knowledge (Kubeflow, KServe, GPU scheduling).
Do remote Kubernetes AI jobs require cloud provider experience?
Almost always. EKS (AWS), GKE (Google Cloud), and AKS (Azure) are the most common managed Kubernetes platforms. Most job listings specify a primary cloud provider.
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